Instructions to use mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download params_shard_103.bin from mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 41.9 MB
-
https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_103.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/params_shard_103.bin
-
curl -L -o params_shard_103.bin https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_103.bin
41.9 MB
- Xet hash:
- ed9fab0bc495e0aca4f74cc9491ccb249313fe55466f2c9994fe60330294d471
- Size of remote file:
- 41.9 MB
- SHA256:
- 7214b968a2d7edf170cd10d4b8f3924b908fe6caf7cad56b5e5bf7a02a2f6382
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